How to Use the Aptabase (Mobile Analytics) MCP in LlamaIndex

Q: How do I register Aptabase (Mobile Analytics) in LlamaIndex?

Install the llama-index-tools-mcp package and initialize the tool spec with the Vinkius URL. The sendevent tool will then be exposed to your FunctionAgent.

Q: How do I index the outputs of Aptabase (Mobile Analytics) calls in LlamaIndex?

You capture the response of the sendevent tool and write it to your document store. LlamaIndex then vectorizes this data, making your telemetry logs searchable.

Q: What packages are required to run this integration?

You need to install llama-index-tools-mcp via pip. This provides the wrapper classes needed to connect LlamaIndex to the hosted MCP Server endpoint.

Index live mobile telemetry data and send events to Aptabase from your LlamaIndex RAG pipeline.

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Connect Aptabase (Mobile Analytics) MCP to LlamaIndex

Create your Vinkius account to connect Aptabase (Mobile Analytics) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Aptabase (Mobile Analytics) with LlamaIndex

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Log mobile telemetry with LlamaIndex agents

The `send_event` tool lets your LlamaIndex agent dispatch mobile telemetry directly to Aptabase during query execution. As users interact with your search index, the agent records these interactions as custom events. This gives you immediate visibility into what your users search for inside your mobile application. You map user queries directly to event names to track engagement.

Ground search queries using this MCP Server

Connecting this MCP Server to your LlamaIndex agent allows the model to trigger `send_event` when specific search thresholds are met. The agent decides when a query requires a telemetry flag based on context. It combines live event logging with your existing document indexes. You get real-time tracking of app usage patterns without leaving the RAG loop.

Semantic search over past telemetry dispatches

The `send_event` tool output can be indexed directly into your LlamaIndex vector store for future retrieval. Your agent queries these past event payloads to detect recurring mobile usage patterns. This turns simple event tracking into a searchable knowledge base. The agent references previous telemetry runs to make smarter decisions about what to log next.

Setup guide

Set up Aptabase (Mobile Analytics) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Aptabase (Mobile Analytics) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Aptabase (Mobile Analytics) tools.",
)
response = await agent.run("List recent Aptabase (Mobile Analytics) data")

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Common questions about Aptabase (Mobile Analytics) MCP in LlamaIndex

Install the `llama-index-tools-mcp` package and initialize the tool spec with the Vinkius URL. The `send_event` tool will then be exposed to your FunctionAgent.

Yes, your agent evaluates the user's query and determines if running `send_event` is necessary. It only dispatches telemetry when the context warrants an event log.

You capture the response of the `send_event` tool and write it to your document store. LlamaIndex then vectorizes this data, making your telemetry logs searchable.

You need to install `llama-index-tools-mcp` via pip. This provides the wrapper classes needed to connect LlamaIndex to the hosted MCP Server endpoint.

The server handles your telemetry payloads inside an ephemeral sandbox. No event data is written to persistent storage on Vinkius, keeping your app analytics private.

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